Long-range correlation analysis of urban traffic data  

作　　者：盛鹏 王俊峰 唐铁桥 赵树龙 

机构地区：[1]School of Computer Science,Sichuan University [2]Key Laboratory of Fundamental Synthetic Vision Graphics and Image Science for National Defense,Sichuan University [3]School of Transportation Science and Engineering,Beijing University of Aeronautics and Astronautics

出　　处：《Chinese Physics B》2010年第8期55-64,共10页中国物理B（英文版）

基　　金：Project supported by the National High Technology Research and Development Program of China(Grant Nos.2008AA01Z208 and 2009AA01Z405);the Applied Basic Research Program of Sichuan Province of China(Grant No.2010JY0013);the Youth Foundation of Sichuan Province of China(Grant No.2009-28-419)

摘　　要：This paper investigates urban traffic data by analysing the long-range correlation with detrended fluctuation analysis. Through a large number of real data collected by the travel time detection system in Beijing, the variation of flow in different time periods and intersections is studied. According to the long-range correlation in different time scales, it mainly discuss the effect of intersection location in road net, people activity customs and special traffic controls on urban traffic flow. As demonstrated by obtained results, the urban traffic flow represents three-phase characters similar to highway traffic. Moreover, compared by the two groups of data obtained before and after the special traffic restrictions （vehicles with special numbered plates only run in a special workday） enforcement, it indicates that the rules not only reduce the flow but also avoid irregular fluctuation.This paper investigates urban traffic data by analysing the long-range correlation with detrended fluctuation analysis. Through a large number of real data collected by the travel time detection system in Beijing, the variation of flow in different time periods and intersections is studied. According to the long-range correlation in different time scales, it mainly discuss the effect of intersection location in road net, people activity customs and special traffic controls on urban traffic flow. As demonstrated by obtained results, the urban traffic flow represents three-phase characters similar to highway traffic. Moreover, compared by the two groups of data obtained before and after the special traffic restrictions （vehicles with special numbered plates only run in a special workday） enforcement, it indicates that the rules not only reduce the flow but also avoid irregular fluctuation.

关 键 词：urban traffic data long-range correlation detrended fluctuation analysis special traffic restriction 

分 类 号：U491[交通运输工程—交通运输规划与管理]